代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/16731/685890
m ar_spec.m
function [p,f] = ar_spec (a,var,ns);
% function [p,f] = ar_spec (a,var,ns);
% Get spectrum from AR coefficients
% a vector of AR coefficients
% var variance of noise term
% ns samples per s
www.eeworm.com/read/204192/5032940
data temp-rewards-weight.data
#$val(broadcastReward) exp(double($val(broadcastReward) / $val(temperature))) SampleCount $pdr(tot)/avg $pdr(tot)/min $pdr(tot)/max $pdr(tot)/variance $pdr(tot)/err(0.95)
-20 4.53999297625e-05 3 0.82
www.eeworm.com/read/273525/4206382
hlp sdtest_dlg.hlp
{smcl}
{* 03mar2005}{...}
dialogs for {cmd:sdtest} and {cmd:sdtesti}
{hline}
{title:sdtest dialogs}
{dialog sdtest1:One-sample variance-comparison test}
{dialog sdtest2:Two-sample
www.eeworm.com/read/273525/4208201
hlp y_var.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_sumtest:Summary statistics & tests}
> {help y_mean:Mean, median, ... of random variable}
{bind:> {bf:Variance equality tes
www.eeworm.com/read/428078/1962593
h mrw_predic.h
/* Mean and variance of Log(X) where X is a normalized Gaussian */
#define MEAN_LOG_GAUSS (-1.27/2)
#define VAR_LOG_GAUSS (M_PI*M_PI/8)
//
// Procedure to compute the theoretical mean of the magnit
www.eeworm.com/read/362216/2936206
m plot_modwt_wvar_ci_comparison.m
function plot_modwt_wvar_ci_comparison(WJt, ylabel_str, title_str)
% plot_modwt_wvar_ci_comparison -- Plot MODWT wavelet variance and confidence intervals calculated via different methods.
%
%****f*
www.eeworm.com/read/442927/7641947
m inputnormalize.m
function [data2, mu1, sigma1] = inputNormalize(data, plotOpt, mu, sigma)
% inputNormalize: Input (feature) normalization to have zero mean and unity variance for each feature
% Usage:
% [data2, MU1
www.eeworm.com/read/331444/12827870
m skew2.m
% S = SKEW2(MTX,MEAN,VAR)
%
% Sample skew (third moment divided by variance^3/2) of a matrix.
% MEAN (optional) and VAR (optional) make the computation faster.
function res = skew2(mtx, mn, v)
if (
www.eeworm.com/read/231879/14216866
c gaussmar.c
#include
#include
#define PMODE 0644
float x[1048576] ;
/* This program reads iid zero-mean unit-variance Gaussian variates,
and converts them into first-order Gauss-Markov
www.eeworm.com/read/453176/1642019
m var2.m
% V = VAR2(MTX,MEAN)
%
% Sample variance of a matrix.
% Passing MEAN (optional) makes the calculation faster.
function res = var2(mtx, mn)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end